Gang Zeng
- Immunology top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Co-authors
- Guwei ZhangXiaoye YangSteven A. RosenbergRong‐Fu WangVedaste IyakaremyeYanan LiuPaul F. RobbinsSteven M. Dubinett
- Topics
- Climate variability and models (59 papers)Meteorological Phenomena and Simulations (33 papers)Immunotherapy and Immune Responses (31 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Gang Zeng
128 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 151
- Immunology 1.5k
- Molecular Biology 993
- Oncology 934
- Global and Planetary Change 869
- Atmospheric Science 685
Countries citing papers authored by Gang Zeng
This map shows the geographic impact of Gang Zeng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gang Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Zeng more than expected).
Fields of papers citing papers by Gang Zeng
This network shows the impact of papers produced by Gang Zeng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gang Zeng. The network helps show where Gang Zeng may publish in the future.
Co-authorship network of co-authors of Gang Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Zeng. A scholar is included among the top collaborators of Gang Zeng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Zeng. Gang Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 36 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | Spatiotemporal characteristics of the Middle East jet stream and its relationship with China climate in winter | 2 |
| 14 | Interdecadal Variation of Summer Precipitation Pattern over Eastern China and Its Relationship with the North Pacific SST | 22 |
| 15 | 52 | |
| 16 | 464 | |
| 17 | SIMULATION ON CLIMATIC VARIATION OF ARCTIC SEA ICE THROUGH AN ICE-OCEAN COUPLED MODEL | 1 |
| 18 | Impacts of Previous Winter Kuroshio SSTA on Summer Rainfall in China | 1 |
| 19 | 78 | |
| 20 | Research on the modification of industrial spatial distribution in Shanghai | 3 |
About Gang Zeng
Gang Zeng is a scholar working on Atmospheric Science, Global and Planetary Change and Immunology, having authored 136 papers that have together received 3.6k indexed citations. Recurring topics across this work include Climate variability and models (59 papers), Meteorological Phenomena and Simulations (33 papers) and Immunotherapy and Immune Responses (31 papers). The work is most often cited by research in Immunology (1.5k citations), Global and Planetary Change (869 citations) and Atmospheric Science (685 citations). Gang Zeng has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Guwei Zhang, Xiaoye Yang, Steven A. Rosenberg, Rong‐Fu Wang, Vedaste Iyakaremye, Yanan Liu, Paul F. Robbins, Steven M. Dubinett, Xiang Wang and Felicita Baratelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.